Matching Items (6)
Description
The market for searching for food online is exploding. According to one expert at Google, “there are over 1 billion restaurant searches on Google every month” (Kelso, 2020). To capture this market and ride the general digital trend of internet personalization (as evidenced by Google search results, ads, YouTube and social media algorithms, etc), we created Munch to be an algorithm meant to help people find food they’ll love. <br/><br/>Munch offers the ability to search for food by restaurant or even as specific as a menu item (ex: search for the best Pad Thai). The best part? It is customized to your preferences based on a quiz you take when you open the app and from that point continuously learns from your behavior.<br/><br/>This thesis documents the journey of the team who founded Munch, what progress we made and the reasoning behind our decisions, where this idea fits in a competitive marketplace, how much it could be worth, branding, and our recommendations for a successful app in the future.
ContributorsInocencio, Phillippe Adriane (Co-author) / Rajan, Megha (Co-author) / Krug, Hayden (Co-author) / Byrne, Jared (Thesis director) / Sebold, Brent (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Cravingz is a web-based application that allows users to learn the maximum number of food items that they can purchase at a restaurant within a defined personal budget. We created two versions of this web-based application and asked 40 users to perform an A/B test to determine which version provides the best user experience in terms of efficiency and performance. Users who participated in this study completed a set of tasks to test these applications. Our findings demonstrate that users prefer a web application that does not require them to input data repeatedly to view combinations for multiple restaurants. Although the version which required reentry of data was more visually-pleasing, users preferred the version in which inputting data was a one-time task.
ContributorsPandarinath, Agastya (Co-author) / Jain, Ayushi (Co-author) / Atkinson, Robert (Thesis director) / Chavez-Echeagaray, Maria Elena (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Created after the Second World War, the Central Intelligence Agency, or CIA, was a new and important part of the United States military and intelligence apparatus. Throughout the next two decades, the agency was tasked with working alongside the president and Department of State to promote the United States’ interests abroad, and work to prevent the spread of communism during the Cold War. It engaged in multiple controversial regime changes during this era and consistently drifted away from presidential authority. Despite this, the CIA never lost funding and always had complete support from the president. The CIA would face a reckoning during the Kennedy Administration, though, when its director was forced to resign. The understanding of the CIA’s relationship to the resident and his authority is crucial to analyzing the operations it performed, and the ever-increasing power the agency would wield in its global fight against communism.
ContributorsRadu, Zachary (Author) / Niebuhr, Robert (Thesis director) / Thomson, Henry (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of International Letters and Cultures (Contributor)
Created2022-05
Description
This paper investigates the influence of regulatory sentiment on investment-based crowdfunding across various global markets. Crowdfunding, a capital-raising method where individuals collectively invest in projects, businesses, or causes, has significantly evolved with the advent of digital platforms. The emergence of lending-based and investment-based crowdfunding has led to the development of diverse regulatory frameworks worldwide. This study focuses on the relationship between regulatory sentiment and two critical dimensions of crowdfunding markets: investment volume and platform count. By conducting a multivariate analysis using data from the Cambridge Center for Alternative Finance and GDP statistics from the OECD, the paper examines whether investor sentiment about regulation impacts these two variables across seven developed markets.
The research centers around three primary questions: the existence and nature of any statistically significant relationships between regulatory sentiment and investment volume/platform count; and which type of sentiment (adequate, excessive, or inadequate) has the strongest relationship with these variables. The analysis includes a detailed review of regulatory frameworks in the United States, United Kingdom, France, Germany, Spain, Italy, and Malaysia.
The findings reveal a statistically significant relationship between adequate and excessive regulatory sentiment and both investment volume and platform count, with adequate sentiment showing a positive impact and excessive sentiment demonstrating a negative effect. The results highlight the importance of balanced regulatory frameworks in fostering healthy crowdfunding ecosystems and provide insights into how investor perceptions of regulation can influence market dynamics. Future research could further explore these relationships, potentially using more objective measures of regulations and examining the bidirectional influence between market performance and regulatory sentiment.
ContributorsKonstantinov, Phillip (Author) / Lindsey, Laura (Thesis director) / Hertzel, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-12
Description
Many companies wish to create a personalized experience for customers using their websites. For many services that might mean changing the icon on a sign in page; however, as computers become more powerful and customers expect more from the services they use, companies are starting to investigate ways of running personalized code for their customers. Sadly, one big problem with this trend is that it is very new. This leads to many problems such as the lack of technologies fit for a certain scenario, the flooding of new technologies in only a specific field, and the overall general confusion in implementing a novel technology like this. This is why I believe that compounding a list of different technologies, each with a list of pros and cons, example implementations to give a feel of the technology, as well as benchmarks of each method to allow for individuals and companies to create better websites and services for their customers. I will also be going through a history of available technologies to give an idea on how this technology used to be used for, how it is used today, and how I believe it will be used in the future.
ContributorsLabourdette, Aidan (Author) / Osburn, Steven (Thesis director) / Chavez Echeagaray, Maria Elena (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05
DescriptionBuck-It is a budgeting application designed to meet the unique needs of college students. As financial literacy is crucial for developing good long-term financial habits, Buck-It aims to promote budgeting among college students through appealing user interface, robust customization, and effective categorization.
ContributorsBaptista, Asher (Author) / Doyle, Michael (Co-author) / Walle, Andrew (Co-author) / Vemuri, Rajeev (Co-author) / Davitt, Ryan (Co-author) / Byrne, Jared (Thesis director) / Lee, Peggy (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor)
Created2024-05